Harmonic MUSIC Method for mmWave Radar-Based Vital Sign Estimation

This paper investigates the application of millimeter- wave (mmWave) radar for the estimation of human vital signs. Aiming to obtain more accurate frequency estimation for periodic signals of respiration and heartbeat, we propose the harmonic MUSIC (HMUSIC) algorithm to consider harmonic components for frequency estimation of vital sign signals. In the experiments, we tested different subjects' vital signs. Experimental results demonstrate that the 89-th percentile errors in respiration rate and the 88-th percentile errors in heartbeat rate are less than 3 respirations per minute and 5 beats per minute.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/wocc61718.2024.10786088
Citations
6
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
1.11
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article

Harmonic MUSIC Method for mmWave Radar-Based Vital Sign Estimation

Po‐Hsuan Tseng, Chieh-Hsun Hsieh, Tung‐Lin Tsai
6 citations
Wireless Body Area Networks
1.11
article

Harmonic MUSIC Method for mmWave Radar-Based Vital Sign Estimation

Po‐Hsuan Tseng, Chieh-Hsun Hsieh, Tung‐Lin Tsai
article en
6 citations

Abstract

This paper investigates the application of millimeter- wave (mmWave) radar for the estimation of human vital signs. Aiming to obtain more accurate frequency estimation for periodic signals of respiration and heartbeat, we propose the harmonic MUSIC (HMUSIC) algorithm to consider harmonic components for frequency estimation of vital sign signals. In the experiments, we tested different subjects' vital signs. Experimental results demonstrate that the 89-th percentile errors in respiration rate and the 88-th percentile errors in heartbeat rate are less than 3 respirations per minute and 5 beats per minute.

National Taipei University of Technology (TW)
Openalex Percentile: Top 24%
Wireless Body Area Networks
1.11
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